Racket

Racket

Racket Language
+
+

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About

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.

About

Racket is a general-purpose, multi-paradigm programming language that serves as a modern dialect of Lisp and a descendant of Scheme. It is designed as a platform for programming language design and implementation, enabling developers to create new domain-specific and general-purpose languages. Racket's core language includes features such as macros, modules, lexical closures, tail calls, delimited continuations, parameters (fluid variables), software contracts, green threads, and OS threads. The language also comes with primitives, such as event spaces and custodians, which control resource management and enable the language to act like an operating system for loading and managing other programs. Further extensions to the language are created with the powerful macro system, which, together with the module system and custom parsers, can control all aspects of a language. Most language constructs in Racket are implemented as macros in the base language.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM

Audience

Programmers and educators looking for a programming language to improve scripting and computer science education

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Company Information

Racket Language
United States
racket-lang.org

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Oxygene

Oxygene

RemObjects Software
Apache Spark

Apache Spark

Apache Software Foundation
Zig

Zig

Zig Software Foundation

Categories

Deep Learning Supported
Neural Network Supported

Categories

Integrations

Apache NetBeans Not Supported
Apache Spark Supported
BBEdit Not Supported
Brackets Not Supported
Common Lisp Not Supported
Eclipse IDE Not Supported
Emacs Not Supported
Geany Not Supported
Hadoop Supported
Helix Editor Not Supported
Jupyter Notebook Not Supported
Kate Not Supported
Neovim Not Supported
Notepad++ Not Supported
Scheme Not Supported
Sublime Text Not Supported
Vim Not Supported
Visual Studio Code Not Supported
Xcode Not Supported

Integrations

Apache NetBeans Supported
Apache Spark Not Supported
BBEdit Supported
Brackets Supported
Common Lisp Supported
Eclipse IDE Supported
Emacs Supported
Geany Supported
Hadoop Not Supported
Helix Editor Supported
Jupyter Notebook Supported
Kate Supported
Neovim Supported
Notepad++ Supported
Scheme Supported
Sublime Text Supported
Vim Supported
Visual Studio Code Supported
Xcode Supported
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